The Europe Insight Engines Market should witness market growth of 24.9% CAGR during the forecast period (2023-2029).
In contrast to traditional search engines, which provide links to the original source materials, insight engines can provide context-specific information about a given fact or entity. The primary use cases for insight engines are internal search, data analytics extraction, and external search. Even though businesses utilize a variety of data and analytics solutions, they need help to achieve their business objectives. Companies continually search for improved methods to derive greater business value from information. Consequently, insight engines solve this issue by connecting to diverse data sources to provide business-critical insights.
Most of the available data is unstructured (text documents, social media postings, video, emails, audio, etc.), while the remainder is stored in structured systems. To derive valuable insights from this massive resource and discern what a user or organization needs, it is necessary to be able to extract facts from documents and place them in an easily accessible location. Search engines do this by storing such information in a "knowledge graph" that is tailored to the search engines they have used for years. Investing in extracting usable insights from data can be costly for many organizations. They must have their own infrastructure and resources for this. This is one of the primary factors why many businesses view cognitive search as a suitable solution.
One of the world's biggest telecommunications industries is the United Kingdom. Because it underpins so much of the social and economic activities in the United Kingdom, telecom infrastructure is regarded as being of utmost importance. The United Kingdom was among the first to provide the technology internationally with the launch of the 5G network. Since then, despite the United Kingdom carriers boosting their 5G spending, the industry has performed on par with many other European sectors in terms of 5G. Because of IoT devices and sensors, the technical environment in many UK firms is rapidly changing. The Internet of Things significantly improves people's quality of life and increases corporate revenue, among other benefits. These factors are propelling market growth in Europe.
The Germany market dominated the Europe Insight Engines Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $438.9 million by 2029. The UK market is anticipated to grow at a CAGR of 23.9% during (2023-2029). Additionally, The France market would exhibit a CAGR of 25.8% during (2023-2029).
Based on Technology, the market is segmented into Machine Learning and Nature Language Processing. Based on Application, the market is segmented into Customer Management, Search & Discovery, Knowledge Management, Risk & Compliance Management and Others. Based on Component, the market is segmented into Solution and Services. Based on Deployment Type, the market is segmented into Cloud and On-premise. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on Vertical, the market is segmented into BFSI, IT & ITeS, Retail & Ecommerce, Telecom, Manufacturing, Healthcare & Lifesciences, Government and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, IBM Corporation, OpenText Corporation, SAP SE, Oracle Corporation, Elastic N.V., expert.ai S.p. A., Almawave S.p. A. (Almaviva S.p. A), Mindbreeze GmbH, and Squirro AG.
In contrast to traditional search engines, which provide links to the original source materials, insight engines can provide context-specific information about a given fact or entity. The primary use cases for insight engines are internal search, data analytics extraction, and external search. Even though businesses utilize a variety of data and analytics solutions, they need help to achieve their business objectives. Companies continually search for improved methods to derive greater business value from information. Consequently, insight engines solve this issue by connecting to diverse data sources to provide business-critical insights.
Most of the available data is unstructured (text documents, social media postings, video, emails, audio, etc.), while the remainder is stored in structured systems. To derive valuable insights from this massive resource and discern what a user or organization needs, it is necessary to be able to extract facts from documents and place them in an easily accessible location. Search engines do this by storing such information in a "knowledge graph" that is tailored to the search engines they have used for years. Investing in extracting usable insights from data can be costly for many organizations. They must have their own infrastructure and resources for this. This is one of the primary factors why many businesses view cognitive search as a suitable solution.
One of the world's biggest telecommunications industries is the United Kingdom. Because it underpins so much of the social and economic activities in the United Kingdom, telecom infrastructure is regarded as being of utmost importance. The United Kingdom was among the first to provide the technology internationally with the launch of the 5G network. Since then, despite the United Kingdom carriers boosting their 5G spending, the industry has performed on par with many other European sectors in terms of 5G. Because of IoT devices and sensors, the technical environment in many UK firms is rapidly changing. The Internet of Things significantly improves people's quality of life and increases corporate revenue, among other benefits. These factors are propelling market growth in Europe.
The Germany market dominated the Europe Insight Engines Market by Country in 2022 and would continue to be a dominant market till 2029; thereby, achieving a market value of $438.9 million by 2029. The UK market is anticipated to grow at a CAGR of 23.9% during (2023-2029). Additionally, The France market would exhibit a CAGR of 25.8% during (2023-2029).
Based on Technology, the market is segmented into Machine Learning and Nature Language Processing. Based on Application, the market is segmented into Customer Management, Search & Discovery, Knowledge Management, Risk & Compliance Management and Others. Based on Component, the market is segmented into Solution and Services. Based on Deployment Type, the market is segmented into Cloud and On-premise. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises. Based on Vertical, the market is segmented into BFSI, IT & ITeS, Retail & Ecommerce, Telecom, Manufacturing, Healthcare & Lifesciences, Government and Others. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, IBM Corporation, OpenText Corporation, SAP SE, Oracle Corporation, Elastic N.V., expert.ai S.p. A., Almawave S.p. A. (Almaviva S.p. A), Mindbreeze GmbH, and Squirro AG.
Scope of the Study
By Technology
- Machine Learning
- Nature Language Processing
By Application
- Customer Management
- Search & Discovery
- Knowledge Management
- Risk & Compliance Management
- Others
By Component
- Solution
- Services
By Deployment Type
- Cloud
- On-premise
By Organization Size
- Large Enterprises
- Small & Medium Enterprises
By Vertical
- BFSI
- IT & ITeS
- Retail & Ecommerce
- Telecom
- Manufacturing
- Healthcare & Lifesciences
- Government
- Others
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- Microsoft Corporation
- IBM Corporation
- OpenText Corporation
- SAP SE
- Oracle Corporation
- Elastic N.V.
- expert.ai S.p. A.
- Almawave S.p. A. (Almaviva S.p. A)
- Mindbreeze GmbH
- Squirro AG
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. Europe Insight Engines Market by Technology
Chapter 5. Europe Insight Engines Market by Application
Chapter 6. Europe Insight Engines Market by Component
Chapter 7. Europe Insight Engines Market by Deployment Type
Chapter 8. Europe Insight Engines Market by Organization Size
Chapter 9. Europe Insight Engines Market by Vertical
Chapter 10. Europe Insight Engines Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Microsoft Corporation
- IBM Corporation
- OpenText Corporation
- SAP SE
- Oracle Corporation
- Elastic N.V.
- expert.ai S.p.A.
- Almawave S.p.A. (Almaviva S.p.A)
- Mindbreeze GmbH
- Squirro AG
Methodology
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